I conducted multiple data analysis projects by using R, and focused on interpreting, engineering data and building models with the principles of machine learning. My projects response to the solutions for real-world concerns in resource allocation.
Bike share space-time prediction, Philadelphia
The algorithm model aims to predict Indego bike share demand in Philadelphia by taking time, physical and socio-economic factors into account. The model can assist Indego to better allocate bike resources based on demand varying across time and space.
Retail theft risk prediction, Chicago
I also equipped myself with ArcGIS to work on spatial analysis with a focus on visualization trough map renderings: